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人工神经网络在拉深润滑油选择中的应用
Application of Artificial Neural Network in the Selection of Lubricants in Sheet Metal Drawing
【摘要】 首次利用人工神经网络技术对影响拉深过程中法兰下摩擦系数的工艺参数润滑油参数进行了分析 ,描述了神经网络建模过程并提出了润滑油选择方案。神经网络预测计算结果与实际符合较好。
【Abstract】 A model of artificial neural network is constructed to predict the average coefficient of friction under flange during drawing by taking into consideration both the principal technological parameters and several parameters of lubricant at the same time. Then selections are made to choose proper lubricant under certain operating condition according to the predicted results. The predicted results show good agreement with experimental data.
【关键词】 人工神经网络;
拉深;
摩擦系数;
润滑油;
【Key words】 artificial neural network; drawing; coefficient of friction; lubricant;
【Key words】 artificial neural network; drawing; coefficient of friction; lubricant;
- 【文献出处】 模具技术 ,DIE AND MOULD TECHNOLOGY , 编辑部邮箱 ,2000年02期
- 【分类号】TG356.16
- 【被引频次】3
- 【下载频次】22